temporarily deleted README

README.md

@@ -1,36 +0,0 @@
-# TDB
-
-TensorDebugger (TDB) is a visual debugger for TensorFlow. 
-
-It is the combination of a Python library and a Jupyter notebook extension, built around Google's TensorFlow framework. Together, these extend TensorFlow with run-time visualization capabilities.
-
-<!-- GIF Screenshot here! -->
-
-## FAQ
-
-### Is TDB affiliated with TensorFlow?
-
-No, but it is built on top of it.
-
-### What is TDB good for?
-
-TDB is especially useful at the model prototyping stage and verifying correctness in an intuitive manner. It is also useful for high-level visualization of hidden layers during training.
-
-### How is TDB different from TensorBoard?
-
-TensorBoard is a suite of visualization tools included with Tensorflow. Both TDB and TensorBoard attach auxiliary nodes to the TensorFlow graph in order to inspect data.
-
-TensorBoard cannot be used concurrently with running a TensorFlow graph; log files must be written first. TDB interfaces directly with the execution of a TensorFlow graph, and allows for stepping through execution one node at a time.
-
-Out of the box, TensorBoard currently only supports logging for a few predefined data formats. 
-
-TDB is to TensorBoard as GDB is to printf. Both are useful in different contexts.
-
-
-
-License: Apache 2.0
-
-
-
-Current problem:
-- Optimizer node not running.